A
licenseA
qualityC
maintenanceMCP server for AI image generation and editing using Google Gemini image models.
7
403 npm
MIT
gemini-image-mcp
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TDQS
A4.2/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely distinct purposes: generate_image handles AI-powered generation/editing via Google Gemini, while process_image performs local image operations using sharp. Descriptions explicitly clarify when to use each, leaving no ambiguity.
Naming Consistency5/5
Both tool names follow a consistent 'verb_noun' pattern: 'generate_image' and 'process_image'. This pattern is uniform and predictable, making it easy for an agent to infer functionality.
Tool Count4/5
With only 2 tools, the server is minimalist but well-scoped for its purpose of image generation and processing. While more tools could be added (e.g., for metadata extraction), the current count is reasonable for a focused MCP server.
Completeness4/5
The tools cover the core image lifecycle: AI generation/editing and local processing (crop, resize, background removal, format conversion). Minor gaps exist (e.g., no direct download or metadata retrieval), but the essential workflows are supported.
Maintenance
ActivityInactive
ResponsivenessNo issues